Bjoern Menze
28 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Research topics
Deep Learning
(15)
Machine Learning
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Computer Vision
(12)
Domain-Specific
(10)
Healthcare & Medicine
(8)
Clinical
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Architectures
(7)
Models
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Artificial Intelligence
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Processing
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Keywords
medical imaging
(5)
image segmentation
(3)
vision-language model
(2)
data augmentation
(2)
domain adaptation
(2)
generative adversarial network
(2)
vision transformer
(2)
link prediction
(1)
feature selection
(1)
contrastive learning
(1)
image generation
(1)
self-supervised learning
(1)
semantic segmentation
(1)
attention mechanism
(1)
neural architecture search
(1)
multi-task learning
(1)
image synthesis
(1)
medical image segmentation
(1)
deep learning
(1)
zero-shot learning
(1)
Papers
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT
MIDL 2026
Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
MICCAI 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
ICCV 2025
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
MICCAI 2025
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
CVPR 2025
VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
MICCAI 2025
3D Vessel Graph Generation Using Denoising Diffusion
MICCAI 2024
CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
MICCAI 2024
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
MICCAI 2024
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
ECCV 2024
Link Prediction for Flow-Driven Spatial Networks
WACV 2024
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation
MIDL 2024
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
MIDL 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
NeurIPS 2024
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
MICCAI 2024
VariViT: A Vision Transformer for Variable Image Sizes
MIDL 2024
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
ICML 2023
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images
MIDL 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
MIDL 2023
Why Is the Winner the Best?
CVPR 2023
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions
MIDL 2022
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
WACV 2022
Relationformer: A Unified Framework for Image-to-Graph Generation
ECCV 2022
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
MIDL 2021
Pyramid Architecture Search for Real-Time Image Deblurring
ICCV 2021
Face Super-Resolution Guided by 3D Facial Priors
ECCV 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
CVPR 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
MIDL 2020